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Best Python Web Frameworks 2018

Top 5 Python Web Frameworks

There is a huge demand for the framework in the market, regardless of the platform. If you wonder why we use a framework, then the framework will make your life easier if you are a web developer.

It provides you a structured template to work on, that cuts off the development time and allows the complete focus on application logic rather than the routine coding elements.

The Python web Frameworks have always been on the top, because of large adoption by the developers. These Python web frameworks are generally categorized depending on the size and requirements of the projects, they are Full-stack Python web frameworks, micro Python web frameworks, Asynchronous Python web frameworks and others.

And here we provide you the list of top 5 Python Web Frameworks from different categories, with their features, and also the required versions to make it easier for you to choose the one that suits best for your web development project.

Django

Category – The Django belongs to the full-stack Python framework.

Required Version – 1.7+

About – It is a free open source Python framework that includes all the important features a python web developer seeks in the framework by default.

To map objects to database tables, Django uses ORM and the same is used to transfer from one database to other.

It works with databases like PostgreSQL, MySQL, SQLite, and Oracle.

Many of the big names in the industry use the Django as the primary framework for backend development.

Features of Django – Some of the exemplary features of this Python web framework are

  • Authentication
  • Template engine
  • URL routing
  • ORM (Object-relational mapper)
  • Database schema migrations

Read Django Framework Interview Questions

Web2py

Category – The Web2py belongs to the full-stack framework.

Required Version – 2.5 – 2.7

About – It is a scalable open source framework that comes with its own web-based Integrated Development Environment (IDE) alongside a code editor, one-click deployment, and debugger.

The disappointing drawback of this framework is that it does not support Python 3.

Features of Web2py – This framework comes with many developing tools and built-in features that eliminate the hassle of complexity to the developers.

  • Does not require installation and configuration.
  • Able to run on Linux/Unix, Windows, Mac, Amazon EC2, Google App Engine and the web hosting that supports python Java+Python or Python 2.5-2.7 version.
  • Has role-based access control.
  • Data security that has no place for vulnerabilities like injection flaws, malicious files execution, and cross-site scripting.
  • Supports error tracking and internationalization.
  • Multiple protocols readability.
  • Employs successful software engineering practices that makes code easy to read and maintain.
  • Ensures user-oriented advancements through backward compatibility.

CherryPy

Category – The CherryPy belongs to the micro Python frameworks.

Required Version – 2.7+, 3.1+

About – It is an open source that runs on any operating system like Windows, Linux, macOS or any operating system that supports Python. It makes the building of Python web application process does not differ at all from any other object-oriented program.

A web application developed by CherryPy is a standalone Python application that embeds its own multi-threaded server.

This framework is not limited, it allows the use of any type of technology for data access, templating etc., And allows doing everything a typical Python web framework can like handling sessions, statics, file uploads, cookies and so on.

Features of CherryPy – This micro Python web framework includes some exemplary features by default like

  • HTTP/1.1-compliant WSGI thread-pooled web server.
  • Able to run multiple HTTP servers at once.
  • Have a powerful configuration system and a flexible plugin system.
  • Has built-in support for testing, profiling, and coverage.
  • Some helpful developer tools under the hood of cherryPy are caching, sessions, encoding, static content, authentication and many more.

Read CherryPy interview questions

Tornado

Category – The Tornado belongs to Asynchronous Python framework.

Required Version – 2.7+

About – This framework makes an ideal choice to build the application that requires high performance and tons of concurrent users.

It uses a non-blocking input-output asynchronous networking and solves the C10k issues, which means if the configuration is done properly then this framework can possibly handle 10,000 and more connections.

Features of Tornado – Some of the main features that the tornado has, and makes it a perfect choice are

  • Supports translation, localization and Python-based web templating language.
  • Provides high-quality performance and real-time services.
  • Has non-blocking HTTP client.
  • Built-in support for user authentication.
  • Implements third-party authentication and authorization schemes.

Dash

Category – The Dash belongs to “other” Python web frameworks.

Require Version – 2.1

About – It is an open source framework used to build the analytical web applications. The Dash framework makes the perfect choice for the data scientists who are less familiar with web application development.

The developers have the access to all the configurable properties and underlying Flask instance, with Dash. The apps developed using Dash can be deployed to servers and are eventually rendered in the web browser.

The applications developed by Dash are inherently cross-platform and mobile-friendly and in order to extend the capabilities of applications, the rich set of Flask Plugins can be used by the developers.

Features of Dash – The Dash framework has the following features

  • Provides access to configurable properties and Flask instance.
  • Uses Flask Plugins to extend the capabilities of the Dash application.
  • Mobile-ready.

Wrapping Up

Selection of the right framework for your project is important for the successful development of the application. The above list mentions different Python web frameworks from different categories that are used for different projects.

Choosing a framework depends on the size and complexity of the project.

If you have a large system packed application to be developed with features and requirements then you will need a full-stack Python framework. And the micro framework is used for the projects with simple features and requirements.

Often, when you choose the full-stack framework you are likely bounding to limitations but still, you can work around them. So, choose the framework that suits your needs and after all, a right source is all that you will need for a successful project.

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